Modeling of Dynamic AGV Path Planning with Logistics and Network Repair Task
Considering that industrial Internet of Things in intelligent manufacturing environment is prone to local network connectivity and rupture under harsh working conditions,a scheduling mechanism using mo-bile intelligent logistics units such as AGVs as the intermediate carrier for emergency repair of abnormal networks was proposed. Under the constraints of network connectivity,task priority and operation time win-dow,a multi-staged continuous AGV scheduling model with logistics tasks and network repair requirements was constructed. For this model,an improved multi-subgroup particle swarm optimization algorithm with deep search and Lévy flight exploration was designed to solve the model effectively. The test results of dif-ferent scale cases show that the proposed model and algorithm can effectively realize the AGV to complete the transportation task while carrying out network emergency repair,improve the connectivity significantly of industrial Internet of Things network and enhance the network robustness.
万方数据
维普
